Based on Probabilistic Neural Network of Human Multi-channel Semg Pattern Recognition

被引：0
|
作者：
Dai, Changming [1 ]
Du, Chunmei [1 ]
Qi, Aiha [1 ]
Liu, Jiwen [1 ]
机构：
[1] Hebei Univ Architecture, Dept Educ, Zhang Jia Kou, Peoples R China
来源：
PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012) | 2012年
关键词：
semg; information entropy; Probability RBF neural network; TIME-SERIES;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The phase space reconstruction theory combined with neural network topic of EMG signal analysis methods. Firstly, using the models of the fractal characteristics, calculatiion the two-dimensional spatial information entropy as reflected the muscles of the measuring unit of motion information. Then input the information entropy to the trained probability RBF to be classified. Experimental results show that this method is an effective muscle signal pattern recognition method.
引用
收藏
页码：1354 / 1356
页数：3
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